Evidence map›Paper›PMID 25688290›Full record

ArticleBiotechnology for biofuels2015

Comparative metagenomics of biogas-producing microbial communities from production-scale biogas plants operating under wet or dry fermentation conditions.

Yvonne Stolze, Martha Zakrzewski, Irena Maus, Felix Eikmeyer, Sebastian Jaenicke, Nils Rottmann, Clemens Siebner, Alfred Pühler, Andreas Schlüter

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
34.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 182 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Yvonne Stolze *Institute for Genome Research and Systems Biology, CeBiTec, Bielefeld University, Universitätsstraße 25, D-33615 Bielefeld, Germany.
Martha Zakrzewski *QIMR Berghofer Medical Research Institute Herston, 300 Herston Road, Brisbane, QLD 4006 Australia.
Irena MausInstitute for Genome Research and Systems Biology, CeBiTec, Bielefeld University, Universitätsstraße 25, D-33615 Bielefeld, Germany.
Felix EikmeyerInstitute for Genome Research and Systems Biology, CeBiTec, Bielefeld University, Universitätsstraße 25, D-33615 Bielefeld, Germany.
Sebastian JaenickeBioinformatics Resource Facility, CeBiTec, Bielefeld University, Universitätsstraße 25, D-33615 Bielefeld, Germany.
Nils RottmannNORTH-TEC Maschinenbau GmbH, Oldenhörn 1, 25821 Bredstedt, Germany.
Clemens SiebnerInstitute for Genome Research and Systems Biology, CeBiTec, Bielefeld University, Universitätsstraße 25, D-33615 Bielefeld, Germany.
Alfred PühlerInstitute for Genome Research and Systems Biology, CeBiTec, Bielefeld University, Universitätsstraße 25, D-33615 Bielefeld, Germany.
Andreas SchlüterInstitute for Genome Research and Systems Biology, CeBiTec, Bielefeld University, Universitätsstraße 25, D-33615 Bielefeld, Germany.
Bielefeld University · DEQIMR Berghofer Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecomposition of biomass for biogas production can be practiced under wet and dry fermentation conditions. In contrast to the dry fermentation technology, wet fermentation is characterized by a high liquid content and a relatively low total solid content. In this study, the composition and functional potential of a biogas-producing microbial community in an agricultural biogas reactor operating under wet fermentation conditions was analyzed by a metagenomic approach applying 454-pyrosequencing. The obtained metagenomic dataset and corresponding 16S rRNA gene amplicon sequences were compared to the previously sequenced comparable metagenome from a dry fermentation process, meeting explicitly identical boundary conditions regarding sample and community DNA preparation, sequencing technology, processing of sequence reads and data analyses by bioinformatics tools.

resultsHigh-throughput metagenome sequencing of community DNA from the wet fermentation process applying the pyrosequencing approach resulted in 1,532,780 reads, with an average read length of 397 bp, accounting for approximately 594 million bases of sequence information in total. Taxonomic comparison of the communities from wet and dry fermentation revealed similar microbial profiles with Bacteria being the predominant superkingdom, while the superkingdom Archaea was less abundant. In both biogas plants, the bacterial phyla Firmicutes, Bacteroidetes, Spirochaetes and Proteobacteria were identified with descending frequencies. Within the archaeal superkingdom, the phylum Euryarchaeota was most abundant with the dominant class Methanomicrobia. Functional profiles of the communities revealed that environmental gene tags representing methanogenesis enzymes were present in both biogas plants in comparable frequencies. 16S rRNA gene amplicon high-throughput sequencing disclosed differences in the sub-communities comprising methanogenic Archaea between both processes. Fragment recruitments of metagenomic reads to the reference genome of the archaeon Methanoculleus bourgensis MS2(T) revealed that dominant methanogens within the dry fermentation process were highly related to the reference.

conclusionsAlthough process parameters, substrates and technology differ between the wet and dry biogas fermentations analyzed in this study, community profiles are very similar at least at higher taxonomic ranks, illustrating that core community taxa perform key functions in biomass decomposition and methane synthesis. Regarding methanogenesis, Archaea highly related to the type strain M. bourgensis MS2(T) dominate the dry fermentation process, suggesting the adaptation of members belonging to this species to specific fermentation process parameters.

Indexed as

16S rRNABiogasDry fermentationFragment recruitmentMetagenomicsMethanoculleus bourgensisMethanogenesisMicrobial communitiesWet fermentation

Identifiers

PMID25688290
PMCPMC4329661
OpenAlexW2137171186

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.